Abstract: Wavelet support vector regression is utilized to enhance the resolution for remote sensing multispectral image. Firstly, both low resolution multispectral image and high resolution panchromatic image are decomposed into multiresolution by using nonsubsampled contourlet transform. Then, by using wavelet support vector regression, the decomposed coefficients are learned and predicted so as to obtain multispectral image with preliminary enhanced resolution. Finally, the above results are further fused with the traditional interpolate one to achieve the resolution enhance of multispectral image. Experiment results show that the proposed algorithm utilizes the auxiliary of remote sensing panchromatic image to effectively attain a wealth of highfrequency detail information, such that either the minimum mean squared error or the peak signal to noise ratio is superior to these from the traditional methods only depending on the amplification of image itself and other resolution enhance methods.